ai scientist

Interra Information Technologies

<p><b>Job Description: AI Scientist</b></p><p>Location: Remote (serving client in Bangkok, Thailand)</p><p>Employer: Leading System Integration Company</p><p>Experience Level: 3&ndash;7 years</p><p><b>About the Role</b></p><p>Our client, a Bangkok-based automotive company, is embarking on an advanced digital and AI-driven transformation. As part of this journey, we are hiring an AI Scientist through our System Integration firm. The selected candidate will work remotely while collaborating closely with both our internal teams and the client&rsquo;s stakeholders, driving innovative AI solutions in predictive analytics and intelligent systems.</p><p><b>Key Responsibilities</b></p><p>&middot; Develop and deploy predictive analytics models for automotive industry use cases (e.g., demand forecasting, customer behavior, operational efficiency).</p><p>&middot; Leverage Python for advanced data processing, feature engineering, and machine learning pipelines.</p><p>&middot; Work hands-on with Microsoft Azure Cloud for AI/ML workflows, including training, deployment, and scaling models.</p><p>&middot; Collaborate with Databricks for large-scale data engineering and modeling tasks.</p><p>&middot; Contribute to research and application of Large Language Models (LLMs) and Small Language Models (SLMs) in real-world scenarios.</p><p>&middot; Partner with cross-functional teams (data engineers, business analysts, and client stakeholders) to ensure models align with business objectives.</p><p>&middot; Demonstrate a growth mindset&mdash;eager to learn, adopt best practices, and explore emerging AI trends.</p><p>&middot; Communicate findings clearly in fluent English, ensuring transparency and collaboration across distributed teams.</p><p>Required Qualifications</p><p>&middot; 3&ndash;7 years of proven experience in AI, machine learning, or data science roles.</p><p>&middot; Strong foundation in predictive analytics and statistical modeling.</p><p>&middot; Advanced proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch, etc.).</p><p>&middot; Experience with Azure AI/ML ecosystem.</p><p>&middot; Familiarity with Databricks or readiness to quickly adopt.</p><p>&middot; Understanding of LLMs/SLMs concepts and potential applications.</p><p>&middot; Excellent communication and collaborative attitude in a remote, multicultural environment.</p><p><b>Preferred Qualifications</b></p><p>&middot; Experience in the automotive industry or manufacturing-related domains.</p><p>&middot; Exposure to MLOps practices (CI/CD for ML, model monitoring, governance).</p><p>&middot; Knowledge of data privacy, compliance, and AI ethics.</p><p><b>What We Offer</b></p><p>&middot; 100% Remote Work with flexible collaboration hours.</p><p>&middot; Opportunity to contribute to high-impact projects for a leading automotive company in Bangkok.</p><p>&middot; Dynamic and supportive work culture within a System Integration company driving innovation globally.</p><p>&middot; Competitive compensation and clear career progression pathways.</p><p>Job Type: Full-time</p><p>Work Location: Remote</p>

AI Scientist

Cotiviti

<div>Overview:
<div>
The <b>Staff Gen AI Scientist</b> will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.</div><div></div><div><i><br>
Please note:</i><i> We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a general guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.</i></div><br>
<div></div>
Responsibilities:
<p>
As a <b>Staff Gen AI Scientist</b> within Cotiviti you will be responsible for delivering solutions that help our clients improve the quality of healthcare outcomes, reduce the cost of healthcare processes, and/or identify payment integrity issues. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.</p><ul><li>
Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.</li><li>
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.</li><li>
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.</li><li>
Prepare your final trained model and develop a validation test set for QA.</li><li>
Work with production operations to deploy your model into production and support them in monitoring model performance.</li><li>
Participate in other data science teams collaborating with your peers to support their projects.</li><li>
Participate in knowledge sharing sessions to bring new insights and technologies to the team.</li><li>
Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.</li><li>
Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.</li><li>
Complete all responsibilities as outlined in the annual performance review and/or goal setting<b>.</b></li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><div>
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.</div>
Qualifications:
<ul><li>Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.</li><li>
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, Llama/Mistral and OpenAI, vector databases.</li><li>
7+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU's.</li><li>
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li><li>
Experience working with Apache Spark&trade; and large-scale distributed datasets.</li><li>
Experience communicating technical concepts to non-technical and technical audiences is a plus.</li><li>
Passion for collaboration, learn it all mindset and driving value with AI.</li></ul><div><b>
Mental Requirements:</b></div><ul><li>
Ability to work independently as well as collaborate as a team with a sense of urgency.</li><li>
Professional with ability to properly handle confidential information.</li><li>
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.</li><li>
Ability to handle multiple tasks, prioritize and meet deadlines.</li><li>
Ability to work within a matrixed organization.</li><li>
Proficiency in all required skills and competencies above.</li><li>
Communicating with others and teamwork.</li><li>
Assessing the accuracy, neatness, and thoroughness of the work assigned.</li></ul><div><b>
Physical Requirements and Working Conditions:</b></div><ul><li>
Flexibility to work with global teams as well geographically dispersed US based teams.</li><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Repeating motions that may include the wrists, hands and/or fingers.</li><li>
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.</li><li>
Must be able to provide a dedicated, secure work area.</li></ul><div></div><div>
Base compensation ranges from $165,000 to $190,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.</div><div></div><div><br>
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.</div><div></div><div><br>
Since this job will be based remotely, all interviews will be conducted virtually.</div><div></div><div><br>
Date of posting: 11/10/2025</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 02/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div><div></div><div><br>
#LI-Remote</div><div>
#Senior</div><div>
#LI-LL1</div></div>

Staff Generative AI Scientist

Locus.sh

<div><div><div><b>Location</b> : Bangalore; (Full Time, Onsite)</div><h2 class="jobSectionHeader"><b>
About Locus</b></h2><p>
Battle-tested in 350+ deployments across 30+ countries, Locus is an agentic Transportation Management System for all-mile, all-channel, trusted by enterprises like Unilever, Nestl&eacute;, and Siam Makro.</p><p>
The platform unifies orders, capacity, and carrier networks into one living plan, aligning planning, execution, and settlement so promises become proof. AI co-pilots with guardrails surface risk early and recommend the next best move to protect SLAs and reduce empty miles.</p><p>
 In 2025, Locus joined the Ingka Group (IKEA Retail) family, marking a major milestone in our journey. Backed by the scale and strength of IKEA, we continue to operate independently while accelerating our mission to make global supply chains faster, smarter, and more sustainable.</p><h3 class="jobSectionHeader"><b>
Our Journey and Impact</b></h3><p>
Since 2015, Locus has been on a mission to make logistics decision-making intelligent, sustainable, and real-world ready. Our platform has powered billions of deliveries across 30 + countries for global enterprises, driving measurable impact in cost savings, carbon reduction, and SLA performance. With the strength of the IKEA ecosystem behind us, we&rsquo;re scaling that impact even further.</p><h3 class="jobSectionHeader"><b>
Our Global Footprint</b></h3><p>
Headquartered in Bangalore, with teams across the U.S., U.K., UAE, and Southeast Asia, Locus brings together 170 + engineers, designers, and problem-solvers united by a single goal: to reinvent how the world moves goods.</p><h3 class="jobSectionHeader"><b>
Traits We Value</b></h3><p>
We look for people who are:</p><ul><li><p>
Global in mindset: curious about diverse markets and ideas.</p></li><li><div><br>
Unrelenting in drive: energized by complex challenges.</div></li><li><div><br>
Intelligent in approach: analytical, creative, and thoughtful.</div></li><li><div><br>
Dynamic in execution: adaptive and decisive in fast-moving contexts.</div></li><li><p><br>
Exact in craft: detail-oriented and committed to excellence.</p></li></ul><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
This role is a critical addition to our growing Data Science team, focusing on the exciting and nascent field of AI agents. The successful candidate will leverage their academic foundation and technical skills to support the entire lifecycle of agent development, from initial concept to deployment and monitoring. Crucially, they will be expected to rapidly learn the state-of-the-art and proactively surface knowledge we are currently missing, significantly contributing to the maturity of our agent-building capabilities.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Collaborate with senior Data Scientists to design, implement, and deploy AI agents using frameworks like LangChain.</p></li><li><div>
Focus on evaluating agent performance, identifying failure modes, and implementing iterative improvements, including robust prompt engineering and tool integration.</div></li><li><div>
Help establish best practices for agent deployment, monitoring, and scaling in a production environment, documenting all findings and emerging knowledge.</div></li><li><p>
Act as an internal resource to research and highlight current best practices, tooling, and critical knowledge gaps in the field of intelligent agent construction.</p></li></ul><h3 class="jobSectionHeader"><b>
Ideal Candidate Profile</b></h3><ul><li><p>
A recent graduate or professional with 2-3 years of experience, ideally holding a degree in Computer Science, Data Science, or a related quantitative field.</p></li><li><div>
Must have strong foundational skills in Python programming, familiarity with Large Language Models (LLMs), and experience with a core data science stack (e.g., pandas, scikit-learn).</div></li><li><div>
Demonstrated passion for applied AI, evidenced by personal projects or academic work involving LLMs, RAG (Retrieval-Augmented Generation), or agentic systems.</div></li><li><p>
A curious, proactive individual who is eager to learn, challenge current assumptions, iterate fast and make incremental progress that compounds.</p></li></ul><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><div>
Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution.</div><div>
We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization.</div><div>
Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace<i>.</i></div></div></div><p></p>

Intuit

<div><p>Category Software Engineering</p>
<p>Location Bangalore, India
</p><p>Job ID 17556</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Intuit is looking for innovative and hands-on Senior Data scientist to join the Intuit foresight. This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care. We aim to save our customers time (&quot;Never enter data&quot;), increase their prosperity by making actionable financial recommendations, and enable them to have complete confidence in our products.</p><p><b><br>
Responsibilities</b></p><ul><li>
Perform hands-on data modeling with huge data sets
</li><li>Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
</li><li>Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
</li><li>Discover data sources, get access to them, import them, clean them up, and make them
</li><li>&ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL
</li><li>Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat
</li><li>Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
</li><li>Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver</li></ul><p><b><br>
Qualifications</b></p><ul><li>
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
</li><li>1+ years of industry experience with data science
</li><li>1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
</li><li>Efficient in SQL, Hive, or SparkSQL, etc.
</li><li>Comfortable in Linux environment
</li><li>1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining
</li><li>Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div></div><p></p>

Senior AI scientist

Kyndryl

<div><p><b>Who We Are
</b></p><p>At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.<br>
</p><p><br>
<b>The Role
</b></p><p>As an Agentic AI Data Scientist at Kyndryl, you&rsquo;ll help shape the future of advanced Agentic AI while working with a team that&rsquo;s leading the industry.
</p><p>We're solving real-world problems at a massive scale &mdash; powered by creativity, precision, and a shared obsession with what&rsquo;s next.
</p><p>You&rsquo;ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.
</p><p>We're not just talking innovation - we're building it. Fast.
</p><p></p><p><b>Startup inside Kyndryl </b>: Zero bureaucracy. You&rsquo;ll work with autonomy, follow your own leads, and build real systems &ndash; not tickets.
</p><p></p><p><b>Tech-first, action-oriented culture </b>: Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
</p><p></p><p><b>Direct impact at scale </b>: Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
</p><p></p><p><b>Deep academic integration </b>: Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
</p><p></p><p><b>Work that matters </b>: Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
</p><p></p><p><b>True builder&rsquo;s environment </b>: Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally &mdash; ideas over titles.
</p><p></p><p>What You&rsquo;ll Do
</p><ul><li>Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
</li><li>Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
</li><li>Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
</li><li>Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
</li><li>Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
</li></ul><p></p><p>Your Future at Kyndryl
</p><p>We don&rsquo;t hire for a role - we hire for a journey. You&rsquo;ll be empowered to work remotely, flexibly, and at your best. Your success is measured by what you create, not where you work from. Expect an innovation cycle where you&rsquo;ll build a legacy portfolio and help reimagine what AI can do for business.<br>
</p><p><br>
<b>Who You Are
</b></p><p>Who You Are
<br>
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
<br>
<br>
<b>Required Skills and Experience
</b></p><ul><li>3+ years of experience as an Agentic AI Data Scientist or in a comparable role
</li><li>Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills
</li><li>Hands-on experience delivering end-to-end GenAI projects and systems
</li><li>MSc in computer science, mathematics, AI, or a related field
</li><li>Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
</li><li>Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
</li></ul><p></p><p><b>Preferred Skills and Experience
</b></p><ul><li>Ability to operate independently and collaborate within a high-trust, low-hierarchy team
</li><li>Contributions to academic/technical communities and shaping open-source projects
</li><li>PhD or equivalent research experience
</li></ul><p></p><p>Bonus Points For:
</p><ul><li>Certifications in Azure, AWS, or Google ML platforms
</li><li>Demonstrated contributions to graph theory, DevOps, or distributed systems
</li><li>Previous projects involving digital transformation, AI-native product development, or enterprise automation
</li><li>Presence in academic or whitepaper communities (authorship, publication, or presentation)
</li>Arabic language skills<br>
<li>
</li></ul><p><br>
<b>Being You
</b></p><p>Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.<br>
</p><p><br>
<b>What You Can Expect
</b></p><p>With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
</p><p></p><p><b>Get Referred!
</b></p><p>If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</p></div>

Agentic AI Data Scientist

Lila Sciences

<div>
 <strong>
  Your Impact at Lila
  <br/>
  <br/>
 </strong>
 As a Research Scientist in our Physical Sciences organization, you develop state-of-the-art generative modeling techniques applied to critical challenges in materials science. You will be working with cross-functional machine learning experts, software engineerings and materials scientists across multiple teams at Lila to create and deploy generative models for Lila&rsquo;s unique materials design challenges. In addition to pushing the state of the art, what is really exciting about this role is to see a clear impact of your methods on real-world materials that are being built and improved in our experimental facilities on a daily basis.
 <br/>
 <br/>
 <strong>
  What You'll Be Building
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generative Models: Design and implement generative models (Diffusion models, flow-based models) and advanced sampling methods for diverse materials design challenges.
  </li>
  <li>
   Data Representation: Develop novel architectures &amp; methods based on physics-informed constraints and domain knowledge informed inductive biases aimed at representing and modeling materials across a wide range of chemical space for real-world applications.
  </li>
  <li>
   Real-World Validation &amp; Deployment: Create and validate datasets, frameworks, and methods for validating generative models on experimentally realized materials. Partner with software engineers and product managers to deploy solutions.
  </li>
  <li>
   Cross-Functional Partnership: Work closely with R&amp;D leadership, product managers, and automation specialists to translate scientific questions into data requirements and modeling strategies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, deep learning frameworks and end-to-end workflow deployment.
  </li>
  <li>
   Understanding of modern generative modeling methods (diffusion models, flow matching models, geometric deep learning methods) and their applications to scientific problems, including materials science, chemistry or biology (e.g. proteins).
  </li>
  <li>
   Elementary understanding of materials science, physics and chemistry and how their principles can be infused into generative model design.
  </li>
  <li>
   Strong self-starter and independent thinker, with strong attention to detail.
  </li>
  <li>
   Demonstrated industry experience or academic achievement.
  </li>
  <li>
   Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.
  </li>
  <li>
   Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Materials Science, Computer Science, Physics, Chemistry, or related field with strong publication record in machine learning (NeurIPS, ICML, ICLR) and scientific (Nature, Science, Cell Press Matter, IOP) venues.
  </li>
  <li>
   Experience with computational materials science methods (DFT, Molecular Dynamics).
  </li>
  <li>
   Understanding of experimental materials science techniques related to synthesis and characterization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Lila
  <br/>
  <br/>
 </strong>
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 <br/>
 <br/>
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 We expect the base salary for this role to fall between
 <strong>
  $176,000-$304,000 USD per year
 </strong>
 , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 <br/>
 <br/>
 <strong>
  We&rsquo;re All In
  <br/>
  <br/>
 </strong>
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 <strong>
  A Note to Agencies
  <br/>
  <br/>
 </strong>
 <em>
  Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 </em>
</div>


AI Scientist I/II, Generative Modeling for Materials Science

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

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